Full Professor

Florida Atlantic University•Boca Raton, FL

About The Position

The Florida Atlantic University Charles E. Schmidt College of Medicine is recruiting a visionary faculty member in Artificial Intelligence in Medicine to develop and lead transformative AI-driven initiatives across both biomedical science and clinical departments. This role offers the opportunity to advance AI applications, machine learning, and data analytics to elevate biomedical research, innovate clinical research, and develop next-generation graduate and medical education. The successful candidate will serve as a catalyst for cross-disciplinary collaboration, advancing discovery, and improving health outcomes on a broad scale. The mission of the Schmidt College of Medicine is to advance the health and well-being of our community by training future generations of humanistic clinicians and scientists and translating discoveries to patient-centered care. We are committed to providing educational programs that enable our trainees to become active, self-directed, lifelong learners who understand the centrality of collaborative relationships in healthcare research and delivery. We are looking for someone with innovative thinking and a passion for ultimately advancing scientific knowledge and healthcare delivery. The successful candidate will lead and contribute to cutting-edge research, education, and strategic initiatives at the intersection of artificial intelligence and biomedical/clinical sciences. The position includes, but is not limited to, the following responsibilities:

Requirements

Ph.D., M.D., or equivalent degree or experience in computer science, artificial intelligence, machine learning, data science, bioinformatics, biomedical science, engineering, or a closely related field.
A minimum of two (2) years in an academic post-doctoral position (Assistant Professor level).
Demonstrated AI and/or machine learning expertise with relevance to biomedical or clinical challenges.
Strong research publication record and proven (for senior roles) or potential (for junior roles) success in obtaining external funding, publications, and successful mentoring of junior faculty, postdoctoral fellows, and/or graduate students.
Commitment to interdisciplinary collaboration and educational excellence.

Nice To Haves

Experience leveraging AI with large-scale biomedical/clinical datasets, such as EHRs, bioinformatics, multi-omics, diagnostics, or health outcomes.
Documented success in cross-disciplinary collaboration and research between basic science and clinical faculty.
Engagement in curriculum development or AI educational programming in health sciences.

Responsibilities

Collaborate with researchers throughout the College and University to integrate AI into ongoing translational and clinical projects.
Contribute to institutional AI strategic efforts.
Develop, lead, and sustain a competitive, externally funded research program (e.g., NIH, NSF, DoD, industry) applying AI/ML methodologies across cutting edge biomedical research domains such as multi-omics, computational biology, drug discovery and development, clinical trials, bioinformatics, clinical informatics, precision medicine and health outcomes research.
Disseminate findings in high-impact journals and at national and/or international conferences.
Design, implement, and evaluate AI-focused coursework for graduate, medical, and health professional education.
Mentor College of Medicine graduate students, medical students, residents, postdocs, and faculty in the development and utilization of AI methodologies for biomedical and clinical research and/or application.
Embed AI modules into existing core and elective courses in the College of Medicine including the M.S. in Biomedical Science program, the Genomics and Precision Medicine Certificate Program, and the College of Medicine sponsored Doctoral Program to enhance student AI knowledge and skills
Serve as a resource for developing new educational programs in the College of Medicine.
Serve as an AI resource for faculty and researchers, offering expertise and guidance on data science integration across departments.
Partner with program directors to identify AI integration opportunities in existing and future graduate curricula.
Contribute to departmental, college, and university committees, and participate in strategic AI-related initiatives and help shape the College’s AI strategy.
Build and sustain partnerships with industry, government agencies, and academic collaborators to foster AI-driven research, training, and innovation.
Collaborate with clinical partners to develop learning health systems initiatives that narrow the gap between evidence and practice.